Python Web Scraping is the process of extracting structured data from websites using Python libraries like BeautifulSoup, Requests, and Selenium. It allows developers to automate data collection from HTML pages for use in analytics, research, or automation tasks.
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Which Python library is most commonly used for parsing HTML?
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Question 3 of 15
3. Question
What does the requests library do in web scraping?
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Question 4 of 15
4. Question
What is the output type of requests.get(url).text?
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Question 5 of 15
5. Question
Which method in BeautifulSoup is used to find a specific HTML tag?
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Question 6 of 15
6. Question
What does the find_all() function return?
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Question 7 of 15
7. Question
What is the purpose of headers in the requests.get() call?
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Question 8 of 15
8. Question
What is User-Agent used for in scraping?
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Question 9 of 15
9. Question
Which library allows interaction with JavaScript-rendered content?
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Question 10 of 15
10. Question
What does .text return in soup.find(‘p’).text?
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Question 11 of 15
11. Question
Which tag attribute is most commonly used to extract specific elements?
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Question 12 of 15
12. Question
What is the purpose of time.sleep() in scraping scripts?
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Question 13 of 15
13. Question
What kind of exception might occur during scraping with requests?
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Question 14 of 15
14. Question
What is robots.txt used for?
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Question 15 of 15
15. Question
Which Python function converts relative URLs into absolute URLs?
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Summary
Python web scraping empowers developers to automate data collection using libraries like requests, BeautifulSoup, and Selenium. Whether scraping job listings, prices, or product reviews, Python provides a robust and scalable solution for web data extraction tasks.
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